DB2 11 for z/OSOverview

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Charles LewisDB2 Advisor,IBM Client Technical Professionallewisc@us.ibm.com

December 10, 2013

Agenda

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DB2 11 Early Support Program Overview

DB2 11 Technical Overview

DB2 Development Outlook

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Core - 21 WW Customers

Geography

11 EMEA

9 NA

1 SA

Industry

7 Banking

5 Insurance

3 Healthcare

2 Financial Markets

1 Automotive

Extended - 6 WW CustomersGeography

3 EMEA 2 NA 1 SA

Industry 3 Banking 2 Computer Services 1 Professional Services

ESP Start February 2013

First Code Drop March 2013

“Regular” service process July 2013

GA October 25, 2013

DB2 11ESP Clients

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Overall Client Feedback

Excellent quality and stability

Good performance and CPU savings

Full menu of functions, including

Utility improvements

Transparent archiving

RBA/LRSN

Optimizer and migration improvements

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ESP Performance Summary

13 customers have provided performance data

Summary of the data analysis with comparableworkloads and after rebind for static workloads

DRDA workload 0 to 20% CPU reduction

CICS workload 3 to 18% CPU reduction

18% includes 4% CPU reduction with NFMextended RBA/LRSN

Batch workload 3 to 20% CPU reduction

0 major performance issues

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DB2 11 Early Support Program (ESP)CPU savings, very high quality, production level stability

“Overall they are very satisfied and astonished aboutthe system stability of DB2 V11. In V10 they experiencedthis in another way.” – European Insurance

“We have seen very few problems in [Installation, Migration, and Performance].Overall, it has been a very pleasant experience!!…The quality of the code isclearly much higher than for the ESP for DB2 10…” - European Banking/FSS

“Good code stability, no outages, no main failures, only afew PMRs….” – European Banking

“We have been involved in several DB2 for z/OS ESP’s. This one willrank as one of, if not the smoothest one yet.” – Large NA retailer

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DB2 11 Early Support Program (ESP)CPU savings, very high quality, production level stability

“I saw a significant performance improvement in recovery of catalog and directory.(V10 5:53 minutes, V11 2:50 minutes) That rocks! … DB2 11 is the best version Ihave ever seen.” - European Gov’t

“Overall, we have been impressed with the new version ofDB2.” – NA Manufacturer

“ Higher availability, performance, lower CPU consumption amongst other newfeatures were the benefits perceived by Banco do Brasil with DB2 11 for z/OS.During our testing with DB2 11 we noticed improved performance, along with

stability. ” - Paulo Sahadi, IT Executive, Banco do Brasil

“We have seen some incredible performance results with DB211, a major reduction of CPU time, 3.5% before REBIND andnearly 5% after REBIND. This will significantly bring down ouroperating costs” – Conrad Wolf, Golden Living

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DB2 11 for z/OS - over 30 quotes

DB2 for z/OS Customer Trends

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• Proliferation of mobile and other network-connected devices is drivingincreases in:

– transaction workloads

– data volumes

– 24x7 requirements

• Continued focus on cost containmentand resource efficiency

• Competitive pressures continue to drive an increasing need for innovation,analytics, and data integration

• DB2 for z/OS has leading edge capabilities to support these requirementsand DB2 11 makes important improvements

DB2 11 Major Themes

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• Out-of-the-box CPU Savings– Improving efficiency, reducing costs, no application changes– Up to 10% for complex OLTP– Up to 10% for update intensive batch– Up to 40% for queries– Additional performance improvements through use of new DB2 11 features

• Enhanced Resiliency and Continuous Availability– Improved autonomics which reduces costs and improves availability– Making more online changes without affecting applications– Online REORG improvements, less disruption– DROP COLUMN, online change of partition limit keys– Extended log record addressing capacity - 1 yottabyte (or 1B petabytes)– BIND/REBIND, DDL break into persistent threads

• Enhanced business analytics– Expanded SQL, XML, and analytics capabilities– Temporal and SQLPL enhancements– Transparent archiving– Hadoop integration, NoSQL and JSON support

• Simpler, faster DB2 version upgrades– No application changes required for DB2 upgrade– Access path stability improvements– Product quality/stability – raised the bar

AnnounceOct. 1

GAOct. 25

IBM Studies - Performance Quick Look

Query

Batch

OLTP

XML

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TPC-H Using Static SQLPL

-10% out-of-box improvement with DB2 11 when rebinding with APREUSE-34% improvement in DB2 11 when rebinding to obtain DB2 11 AP

-1.4%

-10%

-34%

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Performance ImprovementsNo REBIND needed – Partial List

• DDF performance improvements

– Reduced SRB scheduling on TCP/IP receive using new CommServer capabilities

– Improved autocommit OLTP performance

• INSERT performance

– Latch contention reduction

– CPU reduction for Insert column processing and log record creation

– Data sharing LRSN spin avoidance

– Page fix/free avoidance in GBP write

• Automatic index pseudo delete cleanup

• IFI 306 filtering capabilities to improve Replication capture performance

• DGTT performance improvements– Avoid incremental binds for reduced cpu overhead (*)

• Utilities performance improvements

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• Query transformation improvements – less expertise required for performant SQL• Enhanced duplicate removal

– Lots of queries require duplicate removal: e.g. DISTINCT, GROUP BY, etc.– Dup elimination via sorting can be expensive– New techniques: Index duplicate removal, early out

• In-memory techniques– In-memory, reusable workfile– Sparse index (limited hash join support)– Non-correlated subquery using MXDTCACH– Correlated subquery caching

• Select list do-once– Non column expressions in the select list can be executed once rather than per-row

• Column processing improvements– Xproc (generated machine code) for column processing

• DPSI performance improvements• Data de-compression optimizations• Optimizer CPU and I/O cost balancing improvements• DDF enhancement: DRDA package based continuous block fetch

Performance ImprovementsREBIND required – Partial List

Performance ImprovementsSysprog, DBA, or application effort required – Partial List

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• Suppress-null indexes

– Index entries not created when all values for indexed columns are NULL

– Reduced index size, improved insert/update/delete performance, compatibilitywith other DBMSes

– Improved utility and CREATE INDEX performance

• New PCTFREE FOR UPDATE attribute to reduce indirect references

• DGTT performance improvements

– Non logged DGTTs

• Extended optimization - selectivity overrides (filter factor hints)

– Improve optimizer’s ability to find the cheapest access path

– Collect filter factors for predicates in a Selectivity Profile

• Open dataset limit raised to 200K

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Faster CPU – 1.25x compared to z196

5.5GHz processors, bigger/faster cache

25% reduction measured with DB2 workloads

50% More System Capacity to help consolidation

Up to 3TB real memory per server

Excellent synergy with DB2 10 and 11 scalability

New Features that DB2 11 Exploits

FLASH Express and pageable 1MB frames, used for:

Buffer pool control blocks

DB2 executable code

2GB frame support for buffer pools

Performance improvement expected for extremely large memory sizes

New zEC12 GA2 features that benefit DB2

zEDC Express for enhanced DB2 SMF data compression

RoCE Express for faster, cheaper z/OS to z/OS DRDA communication

Preliminary measurements show up to 2x DRDA transaction throughput increase

DB2 11 and zEC12 Synergy

RAS and Usability Improvement Highlights

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• Logging capacity and performance: RBA/LRSN optionally expands to 10 bytes• BIND / DDL / Online REORG concurrency with persistent threads

– Avoid having to shut down apps to get a REBIND through, e.g. for application upgrades

• More online schema changes– Alter partitioning limit keys– DROP column– Point in time recovery support

for deferred schema changes

• Autonomics improvements– Automatic index pseudo delete cleanup– Overflow row reduction– Optimizer externalizes missing stats to enable automated RUNSTATS

• Data sharing improvements– Group buffer pool write-around– Restart light enhancements– Index split performance and other indexing improvements– Full LRSN spin avoidance

– Plan management improvements - APREUSE(WARN) support– -ACCESS DATABASE … MODE(STATS) option to externalize RTS statistics

• Remove inconsistencies between DB2 andRACF access controls– Automatic DB2 cache refresh when RACF changes are

made

• Package auth cache, dynamic statement cache, userauthentication cache

– Support BIND OWNER when using RACF exit

– Support auto REBIND using owner’s authid when usingRACF exit

– Dynamic SQL authorization checking improvements

• BIND PLAN option to ensure the program isauthorized to use the plan– New PROGAUTH bind option

• Remove column masking restrictions forGROUP BY and DISTINCT

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Security Enhancements

Summary of Utilities Improvements

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• Over 40 new enhancements!

• Availability– Online data repartitioning

• REORG REBALANCE SHRLEVEL(CHANGE)

• Online ALTER of limit keys

– Online REORG availability improvements

• SWITCH phase reduction

• Improved drain processing

– Part level inline image copies for REORG

• Usability– Online REORG automated mapping tables

– REORG delete unused PBG datasets

– System cloning improvements

• CPU reduction– More zIIP offload for LOAD and RUNSTATS

• Performance– Faster LOAD processing

– Inline statistics improvements, reduced need for RUNSTATS

– Optimizer input to statistics collection

– REORG option to avoid sorting data for clustering

– DSNACCOX performance

Expanded SQL and Analytics Capabilities

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• Global variables

• SQLPL improvements: array data type, autonomous transactions

• Alias support for sequence objects

• Temporal data enhancements

– Support for views

– Special register support

– Integrated auditing support (planned)

• Transparent archive query

• SQL Grouping Sets, including Rollup, Cube

• Unicode column support for EBCDIC tables

• Hadoop access via table UDF

• JSON support

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Integrating Big Data Analytics withDB2 for z/OS

• Unstructured data sources are growing fast

• New user-definedfunctions and V11 generictable UDF capability

Two significant needs:

1. Merge this data with trusted OLTP data from zEnterprise data sources

2. Integrate this data so that insights from Big Data sources can drive business actions

Connectors to allow BigInsights to easily & efficiently access DB2 data

DB2 is providing the connectors & the DB capability to allow DB2 apps to easily and efficiently access hadoop data sources

Merge

Integrate

• Much of the world’s operational dataresides on z/OS

IBM BigInsights

New V11features enablethis

• IMS and DB2 JDBCconnectors

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JSONAPI

SQLAPI

SQL + JSONAPI

JSON

{“Product”: {

“SKU”: 11213,“Name”: “Google

Glass”,“Category”: {

},“Size”: [ “S”, “M”,

“L” ]}

}

RelationalReferential IntegrityCheck constraintsTransactionsGeo-spatialScalabilityTemporalSecurityJoins

TunableConsistency

Performance& Scalability

Tools for higherProductivity

EstablishedSecurity

JSON Database Technology PreviewProviding the best of both worlds

JSON Database Technology PreviewProviding the best of both worlds

Announced inDB2 AccessoriesSuite for z/OS

XML Enhancements

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• New Features– Basic xQuery (retrofit to v10)

– COBOL samples for XML (published on Developerworks website)

• Feature Enhancements– Implicitly add doc node during insert/update

– Crossloader support

– Fix error reporting position predicate

– Support xquery constructor as the source expression of insert and replace

• Performance Enhancements– Binary XML validation (retrofit to DB2 V10)

– Partial validation after update

– Date/Time Predicate Pushdown

– XQuery(FLWOR) and XMLQUERY enhancement

– Optimize Index Search Keys

– XML Operator Improvements, use less storage and CPU

– XQuery deferred construction

– XMLTABLE pushdown cast

– Avoid validation of validated binary XML data during LOAD

Easier DB2 Version Upgrade

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• Application Compatibility (APPLCOMPAT)– New feature to ease DB2 version upgrades – avoid impact to applications

– New mechanism to identify applications affected by SQL changes in the new release

– Seamless mechanism to make changes at an application (package) level or system level

• Faster ENFM processing– Lab measurement showed 18x faster in V11 vs. V10 using a large customer catalog

• Access path stability improvements

• Higher code quality stability levels

• SQL Capture/Replay tooling can help testing of DB2 version upgrades

DB2 11 Planning

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• Dual mode migration (CM, ENFM, NFM)

• DB2 10 is the platform for migration

• z/OS 1.13 or above. z10 or above.

• No pre-V9 bound packages

• DB2 Connect V10.5 FP2 is the recommended level for V11– This level is required to exploit most new V11 features

– Any in-service level DB2 Connect supports V11

• Sysplex query parallelism support is removed

• DB2 11 Migration Planning Workshop (MPW)– No charge, 1-day education

– DB2 11 MPW Community on DeveloperWorks

QMF Analytics for TSO

– Brand new component available in QMF Enterprise Edition 11

– Delivers unprecedented charting and statistical analysis capabilitiesdirectly to the mainframe

– Completely menu driven

Faster up and running with QMF reporting

– Adhoc Reports and Quick Reports

– Allows users to quickly and easily create their own sophisticated reportingobjects using an open canvas

Analytics on unstructured data sources

– Text Analytics allows users to extract entities from unstructured datasources (either file-based or database-based) and display the resultsgraphically

Increased support for the business user

– Dynamarts allow users to save their result sets with their query objects foroffline use

– Mobile device support for iPad and Android tablets

QMF 11: Business Analytics for theSystem z Enterprise

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DB2 11 Resources

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• Information Center

• DB2 11 Announcement– http://www-01.ibm.com/common/ssi/cgi-

bin/ssialias?infotype=AN&subtype=CA&htmlfid=897/ENUS213-376&appname=USN

• DB2 11 Technical Overview Redbook (SG24-8180)

• DB2 11 links: https://www.ibm.com/software/data/db2/zos/family/db211/

– Case study: BMW Group

– Case study: JN Data

– Whitepaper: “DB2 11 for z/OS: Unmatched Efficiency for Big Data and Analytics”

– Whitepaper: “How DB2 11 for z/OS Can Help Reduce Total Cost of Ownership”

• eBook available at upcoming events

DB2 Cypress: Early Thoughts

• In-memory processing– HW/SW integration into the future on z– Out-of-the-box performance improvement

• “Mobile-scale” data bases– More schema flexibility– Extreme scale tables, indexes– Higher data ingest rates

• Self-optimizing system– More transparent SQL optimization– Temporal catalog for powerful problem diagnosis capabilities– Easier management of large tables

• Extend System z leadership for continuous availability

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Join “The World of DB2 for z/OS” in 2013(Nov or Dec) and Win Kindle Fire

Join http://bit.ly/WorldofDB2

To celebrate 30th Anniversary of DB2 we are giving onelucky winner a Kindle Fire – profile picture must beadded to qualify.

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